Vizumap: an R package for visualising uncertainty in spatial data

To make a sound data-driven decision, it is necessary to consider the quality and strength of the evidence. Therefore, it is important that the uncertainty of statistical estimates be effectively communicated to decision makers to ensure it is properly considered in the decision-making process. Generally, this uncertainty information is shared through visualisation (e.g., error bars). However, in spatial applications, finding methods that can communicate additional information, about the spatial estimates, in an understandable and meaningful way can be challenging. To address this visualisation shortcoming in spatial statistics, we developed the Vizumap R package. It is a toolkit designed for statisticians, scientists, data journalists, etc., discussing uncertainty in spatial data.